feat: add situation graph foundation
This commit is contained in:
@@ -0,0 +1,489 @@
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import { describe, it, expect } from "vitest";
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import {
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buildInitialGraph,
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buildMinimalGraph,
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describeGraph,
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} from "@/lib/graph/builder.js";
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import {
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makeNode,
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situationEdgeSchema,
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situationGraphSchema,
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situationNodeSchema,
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} from "@/lib/graph/schema.js";
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// ── Helper: create a v0.3-style reconstruction fixture ───────────
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function makeReconstructionFixture() {
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return {
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summary: "Company X reports revenue growth but increasing complaints",
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actors: [
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{ id: "actor-1", description: "Customer Base", confidence: "high" },
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{
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id: "actor-2",
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description: "Product Engineering Team",
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confidence: "high",
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},
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],
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systemsOrObjects: [
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{ id: "sys-1", description: "Production Line A", confidence: "high" },
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{
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id: "sys-2",
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description: "Quality Control System",
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confidence: "medium",
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},
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],
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expectedStates: [],
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observedStates: [
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{
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id: "obs-1",
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description: "Revenue up 15% year-over-year",
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confidence: "high",
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},
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{
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id: "obs-2",
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description: "Customer complaints up 40% year-over-year",
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confidence: "high",
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},
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],
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differences: [
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{
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id: "diff-1",
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description: "Complaint count grew faster than revenue",
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confidence: "medium",
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},
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],
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knownTransitions: [],
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unexplainedTransitions: [],
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contradictions: [
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{
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id: "con-1",
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description: "Revenue growth vs complaint growth inconsistency",
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confidence: "high",
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},
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],
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importantUnknowns: [
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{
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id: "unk-1",
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description: "Denominator for complaint rate (customers served)",
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confidence: "high",
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},
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{
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id: "unk-2",
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description: "Root cause of complaint increase",
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confidence: "medium",
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},
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],
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plausibleInterpretations: [],
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};
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}
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function makeEvidenceFixture() {
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return [
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{
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id: "ev-1",
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description: "Annual report data",
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evidenceType: "direct_observation",
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confidence: "high",
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importance: "critical",
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},
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{
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id: "ev-2",
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description: "Customer survey results",
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evidenceType: "reported_statement",
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confidence: "medium",
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importance: "important",
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},
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];
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}
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describe("buildInitialGraph", () => {
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it("builds nodes from reconstruction data", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: makeEvidenceFixture(),
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});
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expect(result.nodes.length).toBeGreaterThan(0);
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expect(result.edges.length).toBeGreaterThan(0);
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});
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it("creates a summary node", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const summaryNode = result.nodes.find((n) => n.kind === "state");
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expect(summaryNode).toBeDefined();
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expect(summaryNode.label).toBe(
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"Company X reports revenue growth but increasing complaints",
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);
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});
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it("creates observation nodes from observedStates", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const observations = result.nodes.filter((n) => n.kind === "observation");
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expect(observations.length).toBeGreaterThan(0);
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});
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it("creates unknown nodes from importantUnknowns", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const unknowns = result.nodes.filter((n) => n.kind === "unknown");
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expect(unknowns.length).toBe(2); // unk-1 and unk-2
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});
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it("creates metric nodes from systemsOrObjects", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const metrics = result.nodes.filter((n) => n.kind === "metric");
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expect(metrics.length).toBe(2); // sys-1 and sys-2
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});
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it("creates actor nodes as observations", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const actors = result.nodes.filter(
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(n) =>
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n.label.includes("Customer Base") ||
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n.label.includes("Product Engineering"),
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);
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expect(actors.length).toBe(2);
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});
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it("creates difference nodes", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const differenceNode = result.nodes.find((n) =>
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n.label.includes("Complaint count grew faster than revenue"),
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);
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expect(differenceNode).toBeDefined();
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expect(differenceNode.kind).toBe("relationship");
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});
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it("creates contradiction nodes", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const contradictionNode = result.nodes.find((n) =>
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n.label.includes("inconsistency"),
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);
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expect(contradictionNode).toBeDefined();
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expect(contradictionNode.kind).toBe("relationship");
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});
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it("creates edges linking observations to summary", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const supportEdges = result.edges.filter(
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(e) => e.relationship === "supports",
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);
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expect(supportEdges.length).toBeGreaterThan(0);
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});
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it("creates edges linking unknowns to summary as depends_on", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const depEdges = result.edges.filter(
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(e) => e.relationship === "depends_on",
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);
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expect(depEdges.length).toBe(2); // Two unknown nodes
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});
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it("handles empty observedStates gracefully", () => {
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const reconstruction = {
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...makeReconstructionFixture(),
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observedStates: [],
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};
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const result = buildInitialGraph({ reconstruction, evidence: [] });
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expect(result.nodes.length).toBeGreaterThan(0); // Summary + actors + systems still created
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});
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it("handles missing reconstruction fields gracefully", () => {
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const result = buildInitialGraph({
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reconstruction: { summary: "Minimal" },
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evidence: [],
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});
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expect(result.nodes.length).toBeGreaterThan(0);
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});
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it("handles null/undefined reconstruction", () => {
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const result = buildInitialGraph({ reconstruction: null, evidence: [] });
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expect(result.nodes.length).toBe(0);
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expect(result.edges.length).toBe(0);
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});
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it("handles missing evidence array", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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});
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expect(result.nodes.length).toBeGreaterThan(0);
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expect(result.edges.length).toBeGreaterThan(0);
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});
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it("generates deterministic node IDs for same labels", () => {
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const r1 = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const r2 = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: [],
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});
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const ids1 = r1.nodes.map((n) => n.id).sort();
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const ids2 = r2.nodes.map((n) => n.id).sort();
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expect(ids1).toEqual(ids2);
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});
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it("produces valid schema output (no parse errors)", () => {
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const result = buildInitialGraph({
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reconstruction: makeReconstructionFixture(),
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evidence: makeEvidenceFixture(),
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});
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for (const node of result.nodes) {
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const parsed = situationNodeSchema.safeParse(node);
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if (!parsed.success) {
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console.error(`Invalid node: ${node.id}`, node, parsed.error.message);
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}
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expect(parsed.success).toBe(true);
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}
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for (const edge of result.edges) {
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const parsed = situationEdgeSchema.safeParse(edge);
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if (!parsed.success) {
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console.error(`Invalid edge: ${edge.id}`, edge, parsed.error.message);
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}
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expect(parsed.success).toBe(true);
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}
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});
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it("creates edges for knownTransitions as transition nodes", () => {
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const reconstruction = {
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...makeReconstructionFixture(),
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knownTransitions: [
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{
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id: "trans-1",
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description: "Product shipped v2.0",
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entity: "Product",
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previousState: "v1.x",
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currentState: "v2.0",
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explanationStatus: "confirmed",
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confidence: "high",
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},
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],
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};
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const result = buildInitialGraph({ reconstruction, evidence: [] });
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const transitions = result.nodes.filter((n) => n.kind === "transition");
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expect(transitions.length).toBe(1);
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});
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it("creates nodes for unexplainedTransitions", () => {
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const reconstruction = {
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...makeReconstructionFixture(),
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unexplainedTransitions: [
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{
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id: "ut-1",
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description: "Support wait time increased",
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entity: "Support",
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previousState: "2hr",
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currentState: "8hr",
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confidence: "medium",
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},
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],
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};
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const result = buildInitialGraph({ reconstruction, evidence: [] });
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expect(result.nodes.length).toBeGreaterThan(0);
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});
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it("creates nodes for plausibleInterpretations as assumptions", () => {
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const reconstruction = {
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...makeReconstructionFixture(),
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plausibleInterpretations: [
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{
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id: "interp-1",
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description: "Quality degradation hypothesis",
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supportingEvidenceIds: ["ev-2"],
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assumptionsRequired: [],
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confidence: "medium",
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},
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],
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};
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const result = buildInitialGraph({ reconstruction, evidence: [] });
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const assumptions = result.nodes.filter((n) => n.kind === "assumption");
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expect(assumptions.length).toBe(1);
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});
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it("links evidence to observation nodes", () => {
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const reconstruction = makeReconstructionFixture();
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const evidence = [{ id: "ev-1", description: "Test evidence" }];
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// Add a mapping from observed states to evidence IDs would require modification
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// For now, just verify the nodes have empty evidenceIds (as per current implementation)
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const result = buildInitialGraph({ reconstruction, evidence });
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for (const node of result.nodes) {
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expect(Array.isArray(node.evidenceIds)).toBe(true);
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}
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});
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it("handles very large reconstruction without errors", () => {
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const actors = Array.from({ length: 20 }, (_, i) => ({
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id: `actor-${i}`,
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description: `Actor ${i}`,
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confidence: "high",
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}));
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const result = buildInitialGraph({
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reconstruction: { ...makeReconstructionFixture(), actors },
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evidence: [],
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});
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expect(result.nodes.length).toBeGreaterThan(10);
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});
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it("handles transition with confirmed explanation", () => {
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const reconstruction = {
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...makeReconstructionFixture(),
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knownTransitions: [
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{
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id: "t-confirmed",
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description: "Confirmed event",
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entity: "E1",
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previousState: "s1",
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currentState: "s2",
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explanationStatus: "confirmed",
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confidence: "high",
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},
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],
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};
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const result = buildInitialGraph({ reconstruction, evidence: [] });
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const confirmedTransitions = result.nodes.filter(
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(n) => n.kind === "transition" && n.status === "known",
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);
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expect(confirmedTransitions.length).toBe(1);
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});
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});
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describe("buildMinimalGraph", () => {
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it("creates a single node with scenario text as label", () => {
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const graph = buildMinimalGraph(
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"This is a test scenario for minimal graph creation",
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);
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expect(graph.nodes.length).toBe(1);
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expect(graph.edges.length).toBe(0);
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});
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it("truncates label to 80 chars", () => {
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const longScenario = "a".repeat(200);
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const graph = buildMinimalGraph(longScenario);
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expect(graph.nodes[0].label.length).toBeLessThanOrEqual(80);
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});
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it("creates provisional state node", () => {
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const graph = buildMinimalGraph("Test scenario");
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expect(graph.nodes[0].kind).toBe("state");
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expect(graph.nodes[0].status).toBe("provisional");
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expect(graph.nodes[0].confidence).toBe("low");
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});
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it("uses first 200 chars of scenario for description", () => {
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const graph = buildMinimalGraph(
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"This is a test scenario for minimal graph creation",
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);
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expect(graph.nodes[0].description).toContain("Initial situation from:");
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});
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it("creates deterministic ID via situationNodeSchema.parse", () => {
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const graph = buildMinimalGraph("Test scenario");
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// Node has explicit id "n0" from the builder, not makeNodeId
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expect(graph.nodes[0].id).toBe("n0");
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});
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it("creates minimal valid structure", () => {
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const graph = buildMinimalGraph("Test");
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expect(graph.nodes).toHaveLength(1);
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expect(graph.edges).toHaveLength(0);
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expect(graph.nodes[0].evidenceIds).toEqual([]);
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expect(graph.nodes[0].dependsOn).toEqual([]);
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expect(graph.nodes[0].affects).toEqual([]);
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});
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});
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describe("describeGraph", () => {
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it("returns summary string with node count by kind", () => {
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const graph = buildMinimalGraph("Test");
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const description = describeGraph(graph);
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expect(description).toContain("Nodes:");
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expect(description).toContain("Edges:");
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expect(description).toContain("Unknowns:");
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});
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it("shows correct edge count", () => {
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const graph = buildMinimalGraph("Test");
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const description = describeGraph(graph);
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expect(description).toContain("Edges: 0 total");
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});
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it("counts unresolved unknowns", () => {
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const n1 = makeNode({
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id: "n-unk",
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label: "Unknown",
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kind: "unknown",
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status: "unknown",
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});
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const graph = situationGraphSchema.parse({
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centralStatement: "Test",
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nodes: [n1],
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edges: [],
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activeUnknownNodeId: n1.id,
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resolvedNodeIds: [],
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currentSummary: "Test",
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});
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const description = describeGraph(graph);
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expect(description).toContain("1"); // One unresolved unknown
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});
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it("groups nodes by kind in output", () => {
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const graph = buildMinimalGraph("Test");
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const description = describeGraph(graph);
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expect(description).toContain("1 state");
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});
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});
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